DEDALE: Big data sheds more light on dark matter
EU-funded researchers have helped generate the most accurate map to date of dark matter,…
Author: Samuel Farrens
I have been a postdoctoral researcher at CEA Saclay since October 2015. I am currently working on the DEDALE project and the Euclid mission with Jean-Luc Starck.
My background is in optical detection of clusters of galaxies and photometric redshift estimation. I am now branching out into the field of PSF estimation using sparse signal processing techniques.
Euclid preparation III. Galaxy cluster detection in the wide photometric survey, performance and algorithm selection
Authors: Euclid Collaboration, R. Adam, ..., S. Farrens, et al. Journal: A&A Year: 2019…
La quête de l’origine de l’accélération cosmique
Déterminer la cause de l’accélération cosmique est l’un des grands défis de la cosmologie.…
DEDALE: Big Data hands over the keys to understanding the dark universe
Big Data could hold the key to some of the most complex phenomena described…
Blind separation of a large number of sparse sources
Authors: C. Kervazo, J. Bobin, C. Chenot Journal: Signal Processing Year: 2018 Download:…
Large-scale sparse blind decomposition
The goal of this internship is to work on large scale sparse blind source…
A Distributed Learning Architecture for Scientific Imaging Problems
Authors: A. Panousopoulou, S. Farrens, K. Fotiadou, A. Woiselle, G. Tsagkatakis, J-L. Starck, P. Tsakalides Journal: arXiv Year: 2018…
An Italian Cosmologist Who Wanders in Dante’s Dark Wood
In 2004, the Italian theoretical cosmologist Valeria Pettorino wrote her doctoral thesis on “dark energy in…
Distinguishing standard and modified gravity cosmologies with machine learning
Authors: A. Peel, F. Lalande, J.-L. Starck, V. Pettorino, J. Merten, C. Giocoli,…
On the dissection of degenerate cosmologies with machine learning
Authors: J. Merten, C. Giocoli, M. Baldi, M. Meneghetti, A. Peel, F. Lalande,…